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analysis of large datasets, high-throughput metabolomics, time-lapse microscopy, to investigate how to pharmacologically interfere with fundamental mechanisms in the regulation of cancer metabolism
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legal analysis with experimental and empirical methods. Job description The doctoral researcher will focus on the role of AI in judicial decision-making, with an emphasis on legal reasoning, behavioral
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experimentation – spanning RL, few-shot learning, meta-learning, etc. – with formal analysis to push the boundaries of what modern AI systems can reliably reason about. Position available starting around July 2026
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analysis, and experimental techniques Background in condensed matter physics or materials science Programming skills (C++, Python, ROOT) are a strong asset Good command of English (spoken and written
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analysis of large datasets, high-throughput metabolomics, time-lapse microscopy, to investigate how to pharmacologically interfere with fundamental mechanisms in the regulation of cancer metabolism
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dynamics and ion migration across different interfaces in perovskite solar cells Conduct in-depth analysis of loss mechanisms to understand the limitation factors and develop mitigation strategies to improve
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with data analysis/modelling and programming (R or Python). Advantageous: geostatistics, digital soil mapping, remote sensing, GIS, big data or cloud tools. Proactive working style, strong communication
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paleolimnology, palaeoecology, limnology, microfossil analysis and/or sediment work would be an advantage. Candidates should be motivated to conduct fieldwork abroad and have good English language skills. Good
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degree in biomedical engineering, mechanical engineering or related relevant field A demonstrated and substantial experience with computational simulation methods, i.e. finite element analysis English
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LevelMaster Degree or equivalent Skills/Qualifications Your profile Master’s degree in aerosol science or a related field Experience in measurements and data analysis Excellent command of English Ability